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Brunobkr/llama.cpp_AlgMor24_github

ΩFFFΣLLIa • llama.cpp • AlgMor24 ██████╗ ███████╗███████╗███████╗██╗ ██╗ ██╗ █████╗ ██╔═══██╗██╔════╝██╔════╝██╔════╝██║ ██║ ██║██╔══██╗ ██║ ██║█████╗ █████╗ █████╗ ██║ ██║ ██║███████║ ██║ ██║██╔══╝ ██╔══╝ ██╔══╝ ██║ ██║ ██║██╔══██║ ╚██████╔╝██║ ██║ ███████╗███████╗███████╗██║██║ ██║ ╚═════╝ ╚═╝ ╚═╝ ╚══════╝╚══════╝╚══════╝╚═╝╚═╝ ╚═╝ High-Performance LLM / VLM Inference & Autonomous Agentic Ecosystem… See the full description on the dataset page: https://huggingface.co/datasets/Brunobkr/llama.cpp_AlgMor24_github.

sourceHugging Faceupdated 2mo agoView on Hugging Face
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README.md65 linesDownload Raw Back to minizlib
1# minizlib2 3A fast zlib stream built on [minipass](http://npm.im/minipass) and4Node.js's zlib binding.5 6This module was created to serve the needs of7[node-tar](http://npm.im/tar) and8[minipass-fetch](http://npm.im/minipass-fetch).9 10Brotli is supported in versions of node with a Brotli binding.11 12## How does this differ from the streams in `'node:zlib'`?13 14First, there are no convenience methods to compress or decompress a15buffer.  If you want those, use the built-in `zlib` module.  This is16only streams.  That being said, Minipass streams to make it fairly easy to17use as one-liners: `new zlib.Deflate().end(data).read()` will return the18deflate compressed result.19 20This module compresses and decompresses the data as fast as you feed21it in.  It is synchronous, and runs on the main process thread.  Zlib22and Brotli operations can be high CPU, but they're very fast, and doing it23this way means much less bookkeeping and artificial deferral.24 25Node's built in zlib streams are built on top of `stream.Transform`.26They do the maximally safe thing with respect to consistent27asynchrony, buffering, and backpressure.28 29See [Minipass](http://npm.im/minipass) for more on the differences between30Node.js core streams and Minipass streams, and the convenience methods31provided by that class.32 33## Classes34 35- Deflate36- Inflate37- Gzip38- Gunzip39- DeflateRaw40- InflateRaw41- Unzip42- BrotliCompress (Node v10 and higher)43- BrotliDecompress (Node v10 and higher)44- ZstdCompress (Node v22.15 and higher)45- ZstdDecompress (Node v22.15 and higher)46 47## USAGE48 49```js50import { BrotliDecompress } from 'minizlib'51// or: const BrotliDecompress = require('minizlib')52 53const input = sourceOfCompressedData()54const decode = new BrotliDecompress()55const output = whereToWriteTheDecodedData()56input.pipe(decode).pipe(output)57```58 59## REPRODUCIBLE BUILDS60 61To create reproducible gzip compressed files across different operating62systems, set `portable: true` in the options.  This causes minizlib to set63the `OS` indicator in byte 9 of the extended gzip header to `0xFF` for64'unknown'.65 
Brunobkr/llama.cpp_AlgMor24_github · Team Ai